Jan 22 · 3 min read · Context After using ChatGPT to support real interview deliverables, I ran into an uncomfortable pattern. Sometimes the output was sharp, structured, and genuinely useful.Other times it was fluent, confident, and wrong. Nothing obvious had changed. Sa...
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Jan 14 · 13 min read · Let’s get straight to the point: AI doesn’t code the way you think it does. You type a prompt into Claude Code or GPT, and it spits out a perfectly formatted Python script that integrates with the Polygon API to fetch real-time stock data. It feels l...
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Jan 9 · 14 min read · The Crime Scene “Distinct AI models seem to converge on how they encode reality.” That’s the headline from Quanta Magazine this month, covering MIT’s “Platonic Representation Hypothesis” paper. The pitch is seductive: as AI models get larger and more...
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Jan 4 · 1 min read · Email literacy mattered when email arrived. Search literacy mattered when Google arrived. Today, prompt literacy matters. Knowing how to prompt like a professional determines whether AI becomes: A productivity multiplier Or a source of confusion an...
Join discussionJan 4 · 1 min read · When AI outputs are wrong, the instinct is to blame the model. In practice, most failures come from: Missing context Ambiguous goals Conflicting instructions No output format specified AI systems don’t “understand intent” unless you express it ...
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Jan 4 · 1 min read · Most people treat AI prompting like a guessing game. They type something vague, hope for magic, and blame the model when results fall apart. Prompting is not luck. It’s a skill. Prompt Like a Pro means giving AI the same clarity you’d give a human co...
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